Gender disparity in analgesic treatment of emergency department patients with acute abdominal pain

Acad Emerg Med. 2008 May;15(5):414-8. doi: 10.1111/j.1553-2712.2008.00100.x.


Objectives: Oligoanalgesia for acute abdominal pain historically has been attributed to the provider's fear of masking serious underlying pathology. The authors assessed whether a gender disparity exists in the administration of analgesia for acute abdominal pain.

Methods: This was a prospective cohort study of consecutive nonpregnant adults with acute nontraumatic abdominal pain of less than 72 hours' duration who presented to an urban emergency department (ED) from April 5, 2004, to January 4, 2005. The main outcome measures were analgesia administration and time to analgesic treatment. Standard comparative statistics were used.

Results: Of the 981 patients enrolled (mean age +/- standard deviation [SD] 41 +/- 17 years; 65% female), 62% received any analgesic treatment. Men and women had similar mean pain scores, but women were less likely to receive any analgesia (60% vs. 67%, difference 7%, 95% confidence interval [CI] = 1.1% to 13.6%) and less likely to receive opiates (45% vs. 56%, difference 11%, 95% CI = 4.1% to 17.1%). These differences persisted when gender-specific diagnoses were excluded (47% vs. 56%, difference 9%, 95% CI = 2.5% to 16.2%). After controlling for age, race, triage class, and pain score, women were still 13% to 25% less likely than men to receive opioid analgesia. There was no gender difference in the receipt of nonopioid analgesia. Women waited longer to receive their analgesia (median time 65 minutes vs. 49 minutes, difference 16 minutes, 95% CI = 3.5 to 33 minutes).

Conclusions: Gender bias is a possible explanation for oligoanalgesia in women who present to the ED with acute abdominal pain. Standardized protocols for analgesic administration may ameliorate this discrepancy.

MeSH terms

  • Abdominal Pain / classification
  • Abdominal Pain / drug therapy*
  • Abdominal Pain / etiology
  • Adult
  • Analgesia*
  • Biomarkers
  • Crowding
  • Emergency Service, Hospital / statistics & numerical data*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Prejudice*
  • Prospective Studies
  • Severity of Illness Index
  • Time Factors


  • Biomarkers